Air Quality Data Planner I (Entry Level)

Maryland; Baltimore (MD); On-site; USD 50,000 - 70,000; Full time

Benefits offered by this job

Flexible work schedules and telework

Health coverage with low costs

Paid holidays

Pension plan

Job summary

Maryland Department of the Environment in Maryland is seeking a Natural Resources Planner I to support data validation and quality assurance for the air quality monitoring program. You will assist in collecting and evaluating data from the ambient air quality network and help ensure accuracy and completeness of data used to assess compliance with national standards.

The role emphasizes technical and administrative support, QA reviews, validity checks, and statistical analyses to support

Qualifications

• Bachelor’s degree in environmental science or natural resources planning, management or development is required.
• Familiarity with environmental data handling.
• Familiarity with Microsoft Office tools.
• Familiarity with the Code of Federal Regulations as it pertains to air quality data handling.

Responsibilities

• Support data validation and quality assurance projects of moderate complexity within Maryland’s air quality monitoring program.
• Provide technical and administrative support for collection and evaluation of data from Maryland’s ambient air quality monitoring network.
• Conduct quality assurance reviews, validity checks, and statistical analyses.

Education

Bachelor’s degree in environmental science or natural resources planning, management or development

Tools

Microsoft Office

Job description

Maryland Department of the Environment in Maryland is seeking a Natural Resources Planner I to support data validation and quality assurance for the air quality monitoring program. You will assist in collecting and evaluating data from the ambient air quality network and help ensure accuracy and completeness of data used to assess compliance with national standards.

The role emphasizes technical and administrative support, QA reviews, validity checks, and statistical analyses to support